Stanford CS224n: Deeplearning for Natural Language Processing

This is a repo contains my soloutions to Stanford CS224 by Chris Manning and Richard Socher. Visit the course webpage. You can achieve all the resources, including lecture videos and other materials at that page.

Notes

• The provided solution are in Python 3.6.
• The provided solutions are for Spring 2018.
• In case of changes in the course material, I have upoaded starting code materials in my Dropbox:
  • Assignment 1
  • Assignment 2
  • Assignment 3

Assignment 1

• Q1: Softmax (10 points)
• Q2: Neural Network Basics (30 points)
• Q3: Word2vec (40 points + 2 bonus)
• Q4: Sentiment Analysis (20 points)

Assignment 2

• Q1: Tensorflow Softmax (25 points, coding)
• Q2: Neural Transition-Based Dependency Parsing (50 points, mostly coding with a bit of theory)
• Q3: Recurrent Neural Networks: Language Modeling (25 points, theory)

Assignment 3

• Q1: A window into NER (30 points)
• Q2: Recurrent neural nets for NER (40 points)
• Q3: Grooving with GRUs (30 points)